Google Coral Dev Board (Edge TPU) vs TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU)

No licensed photo available — placeholder drawing.

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

	Google Coral Dev Board (Edge TPU)	TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU)
Best image classification	500 FPS D undated	2798 FPS B 2025 (year only)
Power	2.00 W spec	30.72 W measured
Perf / W	250 FPS/W spec	91.08 FPS/W measured
Price	n/a	n/a
Workloads with data	1 of 7	1 of 7

Best published image classification result per platform. n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

◌

No published object detection results for Google Coral Dev Board (Edge TPU) or TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

◌

No published instance segmentation results for Google Coral Dev Board (Edge TPU) or TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

◌

No published pose estimation results for Google Coral Dev Board (Edge TPU) or TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
Google Coral Dev Board (Edge TPU)	175 FPS inference_time · b=1	Unet Mv2 (128x128) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) undated
TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) CPU-only MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1	2798 FPS throughput_offline · b=unknown	MLPerf resnet (open) / mobilenet-v1-precision_float-0.25-128 FP32 · MLPerf tflite vmaster (ctuning_cpp_tflite-cpu-tflite_vmaster-default_config) · mobile-class CNN	B	30.72 W measured reported in result source — measured	MLPerf Inference v5.0 (open) ID 5.0-5441 2025 (year only)

No shared like-for-like group exists for this pair.

semantic segmentation

◌

No published semantic segmentation results for Google Coral Dev Board (Edge TPU) or TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

speech-to-text

◌

No published speech-to-text results for Google Coral Dev Board (Edge TPU) or TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

◌

No published LLM generation results for Google Coral Dev Board (Edge TPU) or TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

How to read these numbers

Every number is labelled. Confidence: A MLPerf closed, audited · B documented third-party method · C community / review · D vendor-published, not independently verified · E estimate. Power basis: measured with the result · spec vendor spec/envelope · power n/a not published.

Machine-readable: /find.json (see llms.txt); full tables are in “Show data”. Confidence grades: A audited MLPerf closed · B documented third-party · C community · D vendor-published · E estimate. Unknown values are shown as unknown, never estimated. Generated 2026-10-16 from public sources.